Minna H. Chen

1.5k citations
11 papers · 1.2k indexed · 2 hit papers · h-index 9

Minna H. Chen

11 papers receiving 1.2k citations

Hit Papers

Methods To Assess Shear-Thinning Hydrogels for Applicatio...3652017202620202023100200300400

Peers

Minna H. Chen
Comparison fields: 5 of 91
  • Molecular Medicine 424
  • Biomaterials 591
  • Biomedical Engineering 603
  • Pharmaceutical Science 79
  • Automotive Engineering 105
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Lindsay Riley United States
Jorge Alfredo Uquillas United States
Christine A. Cezar United States
Sílvia J. Bidarra Portugal
Ryan J. Wade United States
Karin A. Payne United States
Honghyun Park South Korea
Jennifer Chung United States
Prathamesh M. Kharkar United States
Victoria G. Muir United States
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Countries citing papers authored by Minna H. Chen

Since Specialization
Citations

This map shows the geographic impact of Minna H. Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Minna H. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minna H. Chen more than expected).

Fields of papers citing papers by Minna H. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minna H. Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Minna H. Chen. The network helps show where Minna H. Chen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Minna H. Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minna H. Chen Line = papers co-authored together Minna H. Chen links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 202127
2
Injectable Hyaluronic Acid Hydrogels for the Delivery of Cell-Based Therapeutics to the Heart
20191
3 2018127
4 201876
5 201824
6
Methods To Assess Shear-Thinning Hydrogels for Application As Injectable Biomaterialsbreakdown →
2017365
7
Shear-thinning and self-healing hydrogels as injectable therapeutics and for 3D-printingbreakdown →
2017458
8 201620
9 2015111
10 20151
11 201432

About Minna H. Chen

Minna H. Chen is a scholar working on Biomaterials, Molecular Medicine and Biomedical Engineering, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (7 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), 3D Printing in Biomedical Research (4 papers), Hydrogels: synthesis, properties, applications (3 papers), Elasticity and Material Modeling (2 papers), Supramolecular Self-Assembly in Materials (2 papers), Nanoparticle-Based Drug Delivery (1 paper) and Photochromic and Fluorescence Chemistry (1 paper). The work is most often cited by research in Molecular Medicine (424 citations), Biomaterials (591 citations) and Biomedical Engineering (603 citations). Minna H. Chen has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Jason A. Burdick, Christopher B. Rodell, Claudia Loebel, Pavan Atluri, Jennifer Chung, Leo Wang, Younghun Kim, Adrianne M. Rosales, Kristi S. Anseth and Alen Trubelja. Their work appears in journals such as Circulation, Nature Protocols and Journal of Thoracic and Cardiovascular Surgery.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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